MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Machine Learning means computers learning from data using algorithms to perform a task without being explicitly programmed. Deep Learning uses a complex structure of algorithms modeled on the human brain. This enables the processing of unstructured data such as documents, images, and text.

Detailed explanation-2: -Machine learning involves showing a large volume of data to a machine so that it can learn and make predictions, find patterns, or classify data. The three machine learning types are supervised, unsupervised, and reinforcement learning.

Detailed explanation-3: -What is machine learning? Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Detailed explanation-4: -Machine learning is the Science of Getting computers to learn without being explicitly programmed. Machine learning works on a simple concept that is understanding with experiences. The primary aim of machine learning is to allow computers to learn automatically without human interaction.

Detailed explanation-5: -Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers. These neural networks attempt to simulate the behavior of the human brain-albeit far from matching its ability-allowing it to “learn” from large amounts of data.